RESEARCH ARTICLE
Field-Evolved Resistance in Corn Earworm to
Cry Proteins Expressed by Transgenic Sweet
Corn
Galen P. Dively1, P. Dilip Venugopal1,2*, Chad Finkenbinder3
1 Department of Entomology, University of Maryland, College Park, Maryland, United States of America,
2 American Association for the Advancement of Science - Science and Technology Policy Fellowship
Program, Transportation and Climate Division, Office of Transportation & Air Quality, United States
Environmental Protection Agency, District of Columbia, United States of America, 3 Benzon Research Inc.,
Carlisle, Pennsylvania, United States of America
Abstract
Background
Transgenic corn engineered with genes expressing insecticidal toxins from the bacterium
Bacillus thuringiensis (Berliner) (Bt) are now a major tool in insect pest management. With
its widespread use, insect resistance is a major threat to the sustainability of the Bt trans-
genic technology. For all Bt corn expressing Cry toxins, the high dose requirement for resis-
tance management is not achieved for corn earworm, Helicoverpa zea (Boddie), which is
more tolerant to the Bt toxins.
Methodology/Major Findings
We present field monitoring data using Cry1Ab (1996–2016) and Cry1A.105+Cry2Ab2
(2010–2016) expressing sweet corn hybrids as in-field screens to measure changes in field
efficacy and Cry toxin susceptibility to H. zea. Larvae successfully damaged an increasing
proportion of ears, consumed more kernel area, and reached later developmental stages
(4th - 6th instars) in both types of Bt hybrids (Cry1Ab—event Bt11, and Cry1A.105+Cry2Ab2
—event MON89034) since their commercial introduction. Yearly patterns of H. zea popula-
tion abundance were unrelated to reductions in control efficacy. There was no evidence of
field efficacy or tissue toxicity differences among different Cry1Ab hybrids that could contrib-
ute to the decline in control efficacy. Supportive data from laboratory bioassays demonstrate
significant differences in weight gain and fitness characteristics between the Maryland H.
zea strain and a susceptible strain. In bioassays with Cry1Ab expressing green leaf tissue,
Maryland H. zea strain gained more weight than the susceptible strain at all concentrations
tested. Fitness of the Maryland H. zea strain was significantly lower than that of the suscepti-
ble strain as indicated by lower hatch rate, longer time to adult eclosion, lower pupal weight,
and reduced survival to adulthood.
PLOS ONE | DOI:10.1371/journal.pone.0169115 December 30, 2016 1 / 22
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OPENACCESS
Citation: Dively GP, Venugopal PD, Finkenbinder C
(2016) Field-Evolved Resistance in Corn Earworm
to Cry Proteins Expressed by Transgenic Sweet
Corn. PLoS ONE 11(12): e0169115. doi:10.1371/
journal.pone.0169115
Editor: Juan Luis Jurat-Fuentes, University of
Tennessee, UNITED STATES
Received: July 13, 2016
Accepted: December 11, 2016
Published: December 30, 2016
Copyright: © 2016 Dively et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Data Availability Statement: All relevant data are
available freely through data sharing site Figshare -
Dively, Galen; Venugopal, P. Dilip (2016): Data
from - Field-evolved Resistance in Corn Earworm
to Cry Proteins Expressed by Transgenic Sweet
Corn. figshare. https://dx.doi.org/10.6084/m9.
figshare.4290110.v1.
Funding: This work was supported by the
Maryland Agricultural Experiment Station, #MD-
ENTO-8732 (GPD) and the Maryland Extension
Integrated Pest Management Project (GPD). The
funders had no role in study design, data collection
Conclusions/Significance
After ruling out possible contributing factors, the rapid change in field efficacy in recent
years and decreased susceptibility of H. zea to Bt sweet corn provide strong evidence of
field-evolved resistance in H. zea populations to multiple Cry toxins. The high adoption rate
of Bt field corn and cotton, along with the moderate dose expression of Cry1Ab and related
Cry toxins in these crops, and decreasing refuge compliance probably contributed to the
evolution of resistance. Our results have important implications for resistance monitoring,
refuge requirements and other regulatory policies, cross-resistance issues, and the sustain-
ability of the pyramided Bt technology.
Introduction
Transgenic crops engineered with genes expressing insecticidal toxins from the bacterium
Bacillus thuringiensis (Berliner) (Bt) are now a major tool in insect pest management, with
increasing global adoption since commercial availability in 1996 [1]. Bt transgenic technology
is safe for human health, and may provide multi-fold benefits including reductions in pests
and pesticide usage, and increases in yield, profits and food security [2–9]. In the U.S., single-
gene and pyramided Bt crops constituted 81% of the total 35.6 million ha of maize (corn), Zeamays L., planted in 2015, and 84% of the total 3.6 million ha of planted cotton Gossypium sp. L.
[10,11]. Bt toxins targeting lepidopteran pests in these crops include Cry1Ab, Cry1Ac,
Cry1A.105, Cry1F, Cry2Ab2, Cry2Ae and Vip3A.
With the widespread use of Bt crops, insect resistance is the major threat to the sustainabil-
ity of the Bt transgenic technology. Thus, an insect resistance management (IRM) plan aimed
at delaying the onset of resistance is required by the U. S. Environmental Protection Agency
(EPA) for commercial registration of Bt crops in the U.S [12]. As the key component of IRM,
high dose-refuge strategies have been widely adopted targeting specific insect pests, which
deploy a high toxin expression to kill nearly all heterozygous resistant individuals. When used
in combination with non-Bt crops grown in proximity or amidst Bt crops as refuges, this strat-
egy allows survival and mating of susceptible insects with Bt resistant insects, thereby keeping
the resistant allele frequency low [13]. For single-gene Bt corn hybrids, primarily targeting
European corn borer, Ostrinia nubilalis (Hubner), EPA mandates a 20% and 50% structured
refuge in the corn belt and cotton growing regions, respectively. Also, the refuge-in-the-bag
(RIB) strategy with a 5% refuge requirement (95% Bt) is now approved for hybrids expressing
multiple pyramided Bt proteins for lepidopteran control in the corn belt [14]. The RIB strategy
primarily aims to manage evolution of resistance in O. nubilalis (Hubner), but not corn ear-
worm, Helicoverpa zea (Boddie). For this reason, there still is a 20% structured refuge require-
ment for Bt corn with no option for the RIB strategy in the southern U.S. which faces high H.
zea population pressure [15] and additional selection from Bt cotton.
While IRM for Bt corn has proved effective in delaying O. nubilalis resistance, reports of
other insect pests developing resistance to the insecticidal toxins are on the rise (see [16,17] for
recent reviews). Since 2002, field-evolved resistance to Bt crops [sensu [16,18]; > 50% resistant
individuals and reduced efficacy] is reported for five major insect pests across different coun-
tries [17]. This includes the fall armyworm, Spodoptera frugiperda (J.E. Smith) for Cry1F in
Puerto Rico, Brazil and continental U.S. [19–23] and Cry1Ab in Brazil [24]; maize stalk borer,
Busseola fusca (Fuller) for Cry1Ab in South Africa [25]; pink bollworm, Pectinophora
Corn Earworm Bt Cry Protein Resistance
PLOS ONE | DOI:10.1371/journal.pone.0169115 December 30, 2016 2 / 22
and analysis, decision to publish, or preparation of
the manuscript.
Competing Interests: We have read the journal’s
policy and the authors of this manuscript have the
following competing interests: Although this
research and the preparation of this article was not
financially supported by organizations that may
gain or lose financially through its publication, one
of the author (GPD) has received financial support
for other research or consulting from companies
including Syngenta, Monsanto, Bayer CropScience,
Dow AgroScience, and Pioneer/DuPont. CF is an
employee of Benzon Research Inc., an independent
contract research laboratory that specializes in
bioassays of insect control agents and laboratory
efficacy testing. This does not alter our adherence
to PLOS ONE policies on sharing data and
materials.
gossypiella (Saunders) for Cry1Ac in India [26]; Western corn rootworm, Diabrotica v. virgiferaLeConte for Cry3Bb and mCry3A in U.S. [27–29]; and corn earworm, H. zea (Boddie) for
Cry1Ac in U.S [16, 30]. Reports of field-evolved resistance by H. zea to Cry1Ac was refuted by
Moar et al. [31], to which Tabashnik et al. [32] responded with further confirmations on the
initial report. H. zea may also be developing resistance to Cry1Ab in field corn [33]. Addition-
ally, cross-resistance can occur among closely related Cry toxins, particularly those selected for
pest resistance in single-gene Bt crops, which can likely lead to more rapid pest resistance
development in crops expressing multiple pyramided toxins [22,34–37]. Previous reports have
shown cross-resistance between the Cry1A proteins (1Ab, 1Ac, Cry1A.105) in H. zea [38,39].
Santos-Amaya et al. [40] found that Cry1F resistant S. frugiperda selected in Bt corn was also
highly resistant to Bt cotton expressing Cry1Ac and Cry1f toxins, and Yang et al. [41] reported
that a laboratory selected strain of S. frugiperda to Cry1A.105 and Cry2Ab2 showed cross-resis-
tance to Cry1F. Recently, Hernandez-Rodriguez et al [42] demonstrated that O. nubilalis and
S. frugiperda shared midgut binding sites for Cry1A.105, Cry1Ab and Cry1Ac, implying cross
resistance between these proteins.
Registrants of Bt corn are also required by the EPA to annually monitor potential changes
in susceptibility of target insect species to Bt toxins in order to detect the evolution of resis-
tance before field efficacy fails [43]. To monitor susceptibility changes, the performance and
mortality of the progeny of field-collected insects to a Bt toxin is tested at diagnostic concen-
trations, and compared to a known range of baseline susceptibility [44–46]. A significant
decrease in susceptibility of a population based on this approach is viewed as genetically medi-
ated and confirmation of field-evolved resistance, as defined by Tabashnik et al. [43]. However,
when field populations evolve resistance to Bt toxins, decreased susceptibility to Bt crops,
resulting in a reduction in field efficacy is usually expected [43]. Moar et al. [31] defined field-
evolved resistance based on a change in field efficacy, documented as an increased ability of a
target pest to feed and complete development. Such a definition of field-evolved resistance
incorporates the outcomes of genetically mediated changes in sensitivity of the target pest to Bt
toxins, such as the potential for incomplete resistance and fitness costs where pest feeding on
Bt crops increases but development to adult is delayed or incomplete [31]. In addition to the
laboratory bioassays to determine resistance, comparison of target pest susceptibility and con-
trol efficacy in paired fields of Bt and non-Bt crops is a practical method to monitor evolution
of resistance in the field [31,47]. Resistance definition by Tabashnik et al. [16,18], which we fol-
low in this study, comprises different categories of resistance, including the field efficacy
changes as a basis for resistance development.
H. zea is the key pest of sweet corn and polyphagous in many agricultural crop systems, and
it is capable of migrating long distances [15]. For sweet corn production, Attribute (expressing
Cry1Ab toxin, event Bt11) and Attribute II (expressing Cry1Ab and Vip3A, event MIR162)
hybrids from Syngenta Seeds, and Performance Series (PS) hybrids (expressing the Cry1A.105
and Cry2Ab2 toxins, event MON89034) from Seminis Seeds are commercially available. For
these Bt hybrids, which represents <1% of the corn hectares grown in the U.S., there is no ref-
uge requirement. Growers are required to destroy the stalks following harvest. For all Bt corn
expressing Cry toxins, the high dose requirement for IRM is achieved for O. nubilalis, but it is
not true for H. zea which is more tolerant to the Bt toxins [48]. In 2003, Horner et al. [49]
reported that Bt field corn (Cry1Ab, event MON810) suppressed the establishment and devel-
opment of H. zea to late instars by at least 75%. They suggested that this moderate dose effect
might increase the risk of evolution of resistance in areas where Cry1Ab expressing corn is
widely adopted and H. zea overwinters successfully. Efficacy of single event Cry1Ab sweet
corn for controlling H. zea was highly variable during 2008–2011, (for example, 8.0%– 73%
Corn Earworm Bt Cry Protein Resistance
PLOS ONE | DOI:10.1371/journal.pone.0169115 December 30, 2016 3 / 22
clean ears in Maryland; [50,51]) with increasing concerns over lack of H. zea control by
Cry1Ab in Bt sweet corn [51].
Here we present findings from 21 years of monitoring changes in Cry1Ab susceptibility to
H. zea and field efficacy in Bt sweet corn as an in-field screen. We hypothesized that a change
in control efficacy since its commercial availability in 1996 is evidence of field-evolved resis-
tance of H. zea to Cry1Ab toxins. We also provide data on recent changes in field efficacy of
Cry1A.105+Cry2Ab2 sweet corn, suggesting resistance development in H. zea to multiple Cry
toxins. Further, we investigated patterns of H. zea population abundance, and differences
among Bt hybrids for the efficacy parameters (as surrogate for toxin expression among Bt
hybrids) as they might affect control efficacy. Finally, supportive information from laboratory
bioassays provide preliminary evidence of susceptibility changes by comparing weight gain,
toxicity responses, and fitness characteristics of a H. zea strain reared from surviving larvae on
Bt sweet corn with a susceptible strain.
Methods
Ethics statement
No endangered or protected species were involved in the study. Study was conducted at the
University of Maryland Research and Education farm facilities for which we had permission to
access and collect data.
Study design
Venette et al. [47] proposed the use of sentinel Bt sweet corn as an in-field screen to monitor
evolution of target pest resistance and overall efficacy of Bt corn. Sweet corn, Zea mays var. sac-charata, represents an ideal host plant for monitoring early shifts in H. zea susceptibility and
can effectively function as an in-field diagnostic dose for several reasons. First, when first
introduced commercially, both Attribute and PS hybrids provided greater than 95% control
efficacy against H. zea in most field trials [50–53]. Second, late season plantings of sweet corn
are highly attractive to H. zea moths during the silking and ear development period, and signif-
icantly more infested than populations found in field corn, thus reducing the sample size of
ears required to statistically detect changes in H. zea damage. For late plantings devoid of
insecticidal treatments, infestation of most ears of non-Bt hybrids by H. zea is likely [47].
Unlike field corn, sweet corn is harvested at a premature stage, thus toxin expression is consis-
tently high throughout the crop cycle and generally higher in the silk and kernel tissues than in
Bt field corn. Lastly, it is relatively easy to quantify changes in the incidence and severity of ear
damage in sweet corn as a measure of control efficacy.
Sentinel plots of Bt sweet corn hybrids paired with non-Bt isogenic hybrids were estab-
lished each year during 1996 to 2016 to evaluate H. zea infestations in ears as a direct measure
of control efficacy and indication of changes in Bt toxin susceptibility. Cry1Ab hybrids were
commercially available in 1996 and evaluated during all years, whereas Cry1A.105+Cry2Ab2
hybrids were developed later and included in studies from 2010 to 2016. Additionally, we
evaluated the field performance of pyramided Cry1Ab+Vip3A hybrids in plots planted each
year since 2008, alongside other Bt sweet corn types at the same locations. During each year,
one or two late plantings were established at five University of Maryland Research and Edu-
cation farm facilities—Salisbury and Queenstown on the Eastern Shore of Maryland, and
at Upper Marlboro (38.86˚ N, 76.78˚ W), Beltsville (39.01˚ N, 76.83˚ W) and Clarksville
(39.25˚ N, 76.93˚ W) in central Maryland. Plots were seeded during June at each farm loca-
tion to encourage high infestations of H. zea that typically occur in late August during silking
Corn Earworm Bt Cry Protein Resistance
PLOS ONE | DOI:10.1371/journal.pone.0169115 December 30, 2016 4 / 22
and ear development [54,55]. One replicate pair of Bt and non-Bt plots were established at
most locations; however, replicated plots of each hybrid were included during some years
and locations. Plots ranged in size from 6 to 12 rows 15–30 m long and were maintained
according to commercial production recommendations, except no insecticides were applied.
Control efficacy assessments
All plots were sampled to assess ear damage during mid-August through mid-September when
ears reached fresh market maturity (usually 18–21 days after the onset of silking). We exam-
ined 50–100 primary ears from the center rows of each plot, depending on plot size and level
of infestation. Ears were removed and either brought back to the laboratory for processing or
data were recorded directly from husked ears in situ. The following variables were recorded as
measures of control efficacy: percentage of ears damaged by H. zea, mean kernel area con-
sumed, and mean instar stage (henceforth damage, consumption, and instar, respectively).
Each ear was carefully examined for kernel injury and recorded by pest species. The total ker-
nel area consumed (cm2) was visually estimated as a measure of the extent of ear damage.
Technicians were trained to estimate injured kernel area to ensure consistent and accurate
data. A convenient reference used for estimation was the 0.5 cm2 cross-section of a standard
pencil eraser. Damage greater than 0.5 cm2 was recorded to the nearest 0.5 cm2, but for very
minor injury on a few kernels (<0.5 cm2; common on Bt ears), damage was recorded as
0.2 cm2. For calculating mean kernel consumption, we used only the data from damaged ears.
The number of live and dead H. zea larvae found in each ear was recorded by instar. For ears
with kernel damage but no larvae present, we assumed a late instar H. zea completed develop-
ment if kernel area consumption was greater than 8 cm2 with heavy deposits of frass, discarded
head capsules, and presence of an exit hole. In addition to the mean instar stage, we calculated
the proportion of late instar (4th– 6th instars) found in Bt ears as another measure of larvae
development. Fall armyworm, S. frugiperda (J.E. Smith), is not a major ear-invading pest in
Maryland. However, when there was evidence of multi-species infestations without larvae
present, we carefully examined for shed head capsules, differences in frass deposits, and char-
acteristic feeding patterns to distinguish between S. frugiperda and H. zea damage. O. nubilalisdamage was easily distinguished from that of H. zea by the characteristic frass and the tunnel-
ing injury going into the cob at the tip, side, or base of the ear.
For plantings with replicate plots of Bt and non-Bt hybrids, we used averages over the rep-
licates to avoid pseudo-replication and conducted statistical analyses for each control efficacy
variables (damage, instar, consumption and proportion of late instars). We analysed the com-
parative trends in each variable between Bt and non-Bt hybrids of each Bt type over the study
period, except for the Cry1Ab+Vip3A sweet corn data which contained almost all zeros for
each variable. Each analysis performed individual linear mixed models (LMM) based on
restricted maximum likelihood (REML) assuming a normal error distribution except for
proportion of large instar for Cry1A.105+Cry2Ab2 which was analysed through Gaussian
GLMM (identity function). Statistical significance of the fixed effects in the LMMs was tested
through Wald F tests with Kenward-Roger approximation, and for GLMM through Wald Χ2
test [56].
In each of these LMMs, damage, instar, consumption, and proportion of later instars were
the response variables, interaction effect of year and treatment (Bt vs non-Bt) was the fixed
effect, and the study site was included as a random effect to account for repeated measurement
[56]. Where applicable, we square root transformed the data to conform to linear model
assumptions. We tested for the interaction effect of year and treatment because it denotes sig-
nificant slope differences between Bt and non-Bt hybrids.
Corn Earworm Bt Cry Protein Resistance
PLOS ONE | DOI:10.1371/journal.pone.0169115 December 30, 2016 5 / 22
Bioassays for resistance characterization in Helicoverpa zea field-
collected populations
Insect collections. Previously we had unsuccessfully attempted to establish a H. zea col-
ony from larvae surviving Bt sweet corn during 2008–2012 to determine the extent of field-
evolved resistance through laboratory bioassays. Procedural details and results of these
attempts are available in S1 Appendix. In 2015 we collected surviving H. zea from two 0.2 h
fields of Attribute sweet corn (hybrid ‘BC0805’, expressing Cry1Ab) at two University of Mary-
land Research and Education facilities. One field was planted on 25 June at Salisbury (38.37˚
N, 75.66˚ W), while the second was planted on 20 June at Queenstown (38.80˚ N, 76.17˚ W).
Fields were planted late so that the attractive silking stages coincided with peak moth activity
during late August. Each field was maintained according to commercial production recom-
mendations, except no insecticides were applied. At about 18 days after first silking (late
August), ears were husked open in situ at both locations to expose surviving H. zea larvae. We
removed 1,200 5th and 6th instars from ears, transferred them to 1 oz plastic cups containing
1.5 ml of H. zea meridic diet, and brought back to the laboratory where they were reared indi-
vidually at 25˚C until pupation. Pupae were removed and surface sterilized in a 5% Clorox
(8.25% sodium hypochlorite ai) solution for 3 min and rinsed in water. In September 2015,
600 pupae were shipped to Benzon Research Inc. (Carlisle, PA), where a breeding colony
(henceforth UMD 2015 strain) was established and maintained using standard rearing meth-
ods [57] through two generations before bioassays were conducted. The Benzon laboratory
also maintains a colony of susceptible H. zea strain that was used as a standard reference.
Tissue-incorporated bioassays. Green leaf tissue was collected from Attribute sweet corn
(hybrid ‘BC0805’) and its non-expressing isogenic hybrid ‘Providence’ at full tassel at the Belts-
ville study site. Two leaves above the ear were removed from a random sample of 20 plants of
each type, cut into smaller sections, and dried as a composite sample in a freeze dryer. The
lyophilized Bt and non-Bt tissue was then ground to a fine powder in a commercial grinder
(IKA Works, Inc, Wilmington, DE) and kept at -80˚C until used in bioassays. Eggs of the
UMD 2015 and susceptible strains were obtained from Benzon Research and incubated in a
growth chamber until hatch. Because eggs of the UMD 2015 strain exhibited delayed develop-
ment, temperature regimes were manipulated to schedule larvae of the same size of each strain.
The neonates were reared on a H. zea meridic diet (Southland Products, Lake Village, AR)
until the early 2nd instar for testing.
Three bioassays, each with two replicates of eight concentrations of Bt leaf tissue, were con-
ducted on different days (4 Feb, 23 Feb and 7 April), using larvae from the 3rd, 4th and 5th
generations of the UMD 2015 strain, respectively. At each bioassay, 1200 ml of meridic diet
(adjusted with more water to offset for the added leaf tissue) was prepared and cooled to 55˚C.
in a water bath. Pre-weighed quantities of the Bt and non-Bt powdered tissue were prepared in
the following proportions: 1) 300 mg non-Bt, 2) 10 mg Bt plus 290 mg non-Bt, 3) 20 mg Bt
plus 280 mg non-Bt, 4) 40 mg Bt plus 260 mg non-Bt, 5) 80 mg Bt plus 220 mg non-Bt, 6) 160
mg Bt plus 140 mg non-Bt, 7) 300 mg Bt, and 8) 600 mg Bt. With the exception of the last
quantity, the amount of total leaf powder added to the diet was the same for each concentra-
tion to standardize the composition of the diet.
For each diet concentration, 25 ml of molten diet was drawn into a 60 cc syringe with a 4
ml dia opening at the tip. The cap was then placed over the tip and the plunger was pulled
back and removed from the syringe. Starting with the non-Bt concentration, a pre-weighed
quantity of the leaf powder was added to the diet through the open end of the syringe. The
plunger was then re-inserted, and the mixture homogenized by shaking the syringe for 30 sec-
onds, followed by firmly holding the syringe on a rubber platform of a vortex mixer for
Corn Earworm Bt Cry Protein Resistance
PLOS ONE | DOI:10.1371/journal.pone.0169115 December 30, 2016 6 / 22
another 30 seconds. With the tip cap removed, the leaf powder-diet mixture of each concentra-
tion was dispensed to one 32-well section of a 128-well bioassay tray (C-D International).
Approximately 1.5 ml of diet was added to each well. The dilutions by adding leaf tissue to
25 ml of diet resulted in relatively low exposure doses; for example, the diet incorporating 600
mg of powder contained approximately 2–3% Bt leaf tissue.
After the diet mixture cooled and solidified, one early 2nd instar (18–24 hours old) was
placed in each well using a camel-hair brush. Each 16-well section of the bioassay tray was
sealed with a perforated adhesive lid. The trays were held in a growth chamber at 25˚C, L:D
14:10, and 40–60% RH. Each tray contained one replicate of the eight concentrations and was
infested with larvae from either the UMD 2015 or susceptible H. zea strain. After seven days,
live larvae within each row of four wells were pooled and weighed together. The average weight
gain per larva was calculated by dividing the pooled weight by the number of larvae in the row
group.
Leaf tissue-incorporated bioassays data was analysed through a quasi-Poisson GLM with
average weight after a week of feeding as the response variable and, strain (UMD 2015 and
susceptible), diet concentration, and the interaction as the fixed effects. If interaction term
was significant, we performed post-hoc mean comparisons (α = 0.05; Bonferroni correc-
tion) of weight gain between UMD 2015 and susceptible strains for each level of the diet
concentration.
Fitness costs of resistance evolution
Previous attempts to establish a H. zea colony from surviving larvae collected from Cry1Ab
sweet corn failed, possible due to suspected fitness costs (see S2 Appendix). To address the fit-
ness issue, the UMD 2015 and susceptible strains were reared under laboratory conditions and
assessed simultaneously for egg hatch, survival from egg to adult, development time from egg
hatch to adult, and pupal weight. Methods and results of these studies are described in S2
Appendix.
Helicoverpa zea population abundance and damage association
Year-to-year differences in H. zea population abundance over the study period could account
for changes in control efficacy. To test this, we obtained archived blacklight trap data from the
Maryland Department of Agriculture, which conducted a statewide monitoring network over
the study period up to 2014 [55]. Additional trap data was obtained from the University of Del-
aware Insect Trapping Program [58] for years 2015 and 2016. Both data sets contained H. zeamoth activity from traps at and near our farm locations. We calculated nightly mean moth
numbers for each year by averaging across multiple trap sites, over a 14-day period starting at
the onset of silking at each planting.
We analysed trends in H. zea population abundance at the sites, and its association with
damages for Bt hybrids, through LMMs based on REML. For H. zea abundance, the LMM
included mean nightly moth captures as response, year as fixed effect, and study site as random
effect to account for repeated measurement. For LMM analysing the relationship between H.
zea population abundance and damage in Bt hybrids, damaged corn ears (percentage) for Bt
hybrids was treated as the response, mean nightly H. zea abundance as predictor, and site as
random variable to account for repeated measures.
Efficacy and tissue toxicity comparisons among the Bt hybrids
The same hybrids of Cry1A.105+Cry2Ab2 sweet corn were evaluated over each study period.
However, different Cry1Ab hybrids were planted over the study period as they became
Corn Earworm Bt Cry Protein Resistance
PLOS ONE | DOI:10.1371/journal.pone.0169115 December 30, 2016 7 / 22
commercially available and widely used by growers. Plots were planted with Bt hybrid
‘GSS0937’ and its isoline ‘Bonus’ during 1996–1997, Bt hybrid ‘GSS0966’ and its isoline ‘Prime
Plus’ during 1998–2001, and Bt bicolor hybrid ‘BC0805’ and its isoline ‘Providence’ for the
remainder years (2002–2014). To explore the possibility that differences in toxin expression
among hybrids could account for changes in control efficacy, field performance of six Cry1Ab
hybrids and the non-Bt expressing hybrid Providence were evaluated in 2008. Hybrids
included BC0805 and GSS0966, along with newer hybrids (BSS0977, BSS0982, WH0809, and
WH0812) that were not used in the study. The GSS0937 hybrid planted during the first two
years was not included because seed was not available. Five replicate blocks of the seven
hybrids (four at Queenstown, one at Upper Marlboro) were planted over a three-week period
during June to provide silking stages attractive to a range of H. zea moth pressure during the
late summer. To synchronize the silking period among hybrids, plantings in each block were
staggered over several days according to the expected maturity time of each hybrid. Plots con-
sisted of four rows spaced 90 cm apart and 15 m long, and were managed according to recom-
mended commercial practices including overhead irrigation but no insecticide applications.
Replicate blocks of hybrids were harvested at fresh market maturity on August 22, September
8, 18, and 24, and October 7. Data were recorded (as described above) on the percentage of
ears damaged, mean instar stage, and extent of kernels consumed by each insect pest by exam-
ining 100 ears per plot.
We compared the rate of damage, instar and consumption among the six Bt hybrids and
non-Bt hybrid ‘Providence’ using LMMs based on REML, assuming normal errors. We con-
structed separate LMMs, each with damage, instar and consumption as response variables,
variety as the predictor, and site as a random effect to account for the site level differences.
Tukey’s HSD tests (α = 0.05) was used to identify significant differences in the pairwise com-
parisons of the estimated means.
We further tested for potential differences in Cry1Ab toxicity (possibly due to expression)
among the seven hybrids. Tissue samples of fresh green silk, wilted silk (after pollination),
brown silk (at harvest), and kernel tissue (at harvest) were collected from the field plots at 2, 7,
18, and 18 days after the onset of silking, respectively. The frozen tissue material was lyophi-
lized and processed into a fine powder in a tissue grinder, and stored at -80˚C until further
usage. The level of biological activity of Cry1Ab in each tissue type was determined by a diet-
incorporated feeding bioassay with neonate H. zea as the sensitive indicator. We obtained sus-
ceptible H. zea eggs from a laboratory colony reared over many generations at the U.S. Depart-
ment of Agriculture—Agricultural Research Service, Corn Insects and Crop Genetics Research
Unit in Ames, Iowa. Eggs were incubated in an environmental chamber under temperature
regimes manipulated to schedule a supply of test larvae for each replicate bioassay. The pow-
dered tissue type from each hybrid was mixed in a H. zea meridic diet (Southland Products,
Lake Village, AR) at a concentration of 3 g per liter of diet, which results in statistically detect-
able responses of body weight gain with little mortality [44].
Neonate H. zea were reared individually in Bio-Serv 128-cell clear plastic bioassay trays
with clear film lid covers, with each cell containing 1.5 ml of diet. The larvae were allowed to
feed for seven days, after which data were recorded on the weight and instar stage of surviving
larva. The percentage of growth inhibition was calculated based on the difference in body
weight relative to the weight of larvae fed on non-expressing tissue of each hybrid. In total, we
tested 128 larvae in each of four replicate bioassays of each tissue type, collected from the cor-
responding replicate field blocks. H. zea body weight, growth inhibition, and instar stage
among different Bt hybrids relative to the non-Bt expressing hybrid served as indicators of
potential differences in the tissue toxicity.
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Differences among Bt hybrids and the non-Bt hybrid for H. zea weight and growth inhibi-
tion were analysed by GLM assuming a Gaussian error distribution and identity link function.
Tukey’s HSD tests (α = 0.05) identified significant differences in the pairwise comparisons of
the GLM estimated means. We used diagnostic plots visualizing within-group residuals (stan-
dardized residuals Vs fitted values, normal Q-Q plots, histograms of residuals) and estimated
random effects (normal Q-Q plots and pairs-scatter plot matrix) to ensure LMM appropriate-
ness (see [59]; pgs. 174–197). Package ‘lme4’ [60] was used to construct the LMMs / GLMM,
multiple comparison contrasts and Tukey’s HSD comparisons were performed with packages
“contrast” and “multcomp” [61,62]. Estimated coefficients were extracted from the LMMs and
plotted using “ggplot2” [63], all in R program [64].
Results
Control efficacy assessments
Data from Cry1Ab hybrids and the non-Bt counterparts were analysed for H. zea development
and ear damage. During all years, H. zea infestations and ear damage were very high in the
non-Bt hybrids, averaging 82.4±17.5% damaged ears, with 5.13±2.6 cm2 of kernel area con-
sumed by larvae consisting of 80.3±17.6% late instars. Trends in these responses over years
showed either no change or slight increases. Comparing trends between Bt and non-Bt
hybrids, LMMs revealed significant interactions between year and hybrid type for all response
variables denoting significant slope differences—damage [F (1,175) = 18.7, P< 0.001]; con-
sumption [F (1,167) = 12.6, P<0.001]; instars [F (1,169) = 9.4, P = 0.009] and proportion of late
instars [F (1,281) = 94.1, P< 0.001] (model coefficients are available in Table 1 of S3 Appendix).
Changes over time in damage, consumption, instars and proportion of late instars were signifi-
cantly different between Bt and non-Bt hybrids, with steeper increases for Bt than non-Bt
hybrids (Fig 1A–1D). Over the 21 years, Cry1Ab hybrids experienced a greater change (88%
relative increase) in ear damage by H. zea than non-Bt hybrids (Fig 1A), with 6.3% of the ears
damaged in 1996 compared to 85.1% damaged ears in 2016 (based on raw averages). Since
1996, mean area of Bt kernels consumed per ear increased from 0.6 cm2 to about 3 cm2 (Fig
1B), while area of non-Bt hybrid consumption remained about the same or had declined mar-
ginally. The mean instar recorded in Bt hybrids also increased over the study period, indicating
that surviving larvae reached later developmental stages (Fig 1C), while there was relatively no
change for non-Bt hybrids. In particular, the proportion of late instars in Bt hybrids increased
markedly over the past decade compared to that of non-Bt hybrids. Relatively few surviving
larvae reached the 4th instar in Bt ears during 1996–2006, while 37% of the surviving larvae
were 4th-6th instars during 2015–2016 (Fig 1D).
Similar trends are evident in Fig 2 showing increasing H. zea infestations and ear damage
resulting in reduced field efficacy of the Cry1A.105+Cry2Ab2 sweet corn hybrids. Of the 50
plantings evaluated during 2010–2016, LMMs revealed significant interactions between year
and hybrid type for all response variables denoting significant steeper slopes for the Bt hybrids
—damage [F (1,93) = 18.9, P< 0.001]; consumption [F (1,90) = 14.4, P<0.001]; instars [F (1,91) =
12.9, P<0.001] and proportion of late instars [X2 = 67.9, P< 0.001] (model coefficients are
available in Table 2 of S3 Appendix). Ear damage (mean 87.1±11.2%), kernel consumption
(mean 5.5±1.79 cm2) and the proportion of late instars (mean 83.4±12.2%) in the isogenic
non-Bt hybrids showed only slight increases or no significant change over the seven years
(Fig 2). Damaged ears of Cry1A.105+Cry2Ab2 sweet corn averaged 20.2±12.4% during 2010–
2012, with 0.13±0.11 cm2 of kernel area consumed by larvae consisting of only 6.4±8.69% late
instars. The field efficacy rapidly changed during 2015–2016 when damaged ears increased to
Corn Earworm Bt Cry Protein Resistance
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59.5 ±27.6% and kernel area consumed increased to 2.5±1.9 cm2, with 70.4±17.5% of the sur-
viving H. zea reaching late instars (Fig 2A–2D).
Data from 13 plantings of Vip3A + Cry1Ab sweet corn evaluated during 2008–2016 were
not analysed because no live larvae and no ear damage were found. The ears of non-Bt isogenic
hybrids, paired with these Bt plots at each planting, experienced high H. zea infestations,
resulting in 87.9±14.1% damaged ears and 5.4±2.4 cm2 kernel area consumed. Under this high
pressure, the pyramided hybrids expressing Vip3A + Cry1Ab toxins provided 100% control of
H. zea, as well as fall armyworm and European corn borer.
Bioassays for resistance characterization
When fed diet without leaf powder, larval weight gain (218.0±19.92 mg) of the susceptible
strain was 27% more than that of the UMD 2015 strain (159.1±17.9 mg). Although not signifi-
cantly different [F (1,3) = 5.57, P = 0.099], this suggests that the susceptible strain may be more
adapted to the artificial diet. However, leaf tissue-incorporated bioassay results showed a sig-
nificant interaction between strain and tissue concentration for weight gain [X2 = 46.27,
df = 1, P< 0.001]. Weight gain of the susceptible strain was significantly reduced at a greater
rate than the UMD 2015 strain at all concentrations tested (Fig 3).
Fig 1. Trends comparing efficacy of Cry1Ab Bt sweet corn (Attribute) with non-Bt isogenic hybrids for control of
Helicoverpa zea during 1996–2016 in Maryland, USA. Over years, Bt hybrids (blue circles and shades) had significant
increases in the percentage of H. zea damaged ears (A), kernel consumption (B), instar stage (C) and proportion of late
instars (D) than non-Bt hybrids (yellow squares and shades). Points represent the raw data, black lines represent the
predictions from LMMs, while shaded region denote the upper and lower confidence levels (95% CI).
doi:10.1371/journal.pone.0169115.g001
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Helicoverpa zea population abundance and damage association
The population abundance of H. zea during the 14-day period following silking at each plant-
ing decreased significantly over the study period from 3 moths captured per night in 1996 to
1.3 in 2014 [F (1, 165) = 48.7, P<0.001; slope = -0.10; Fig 4A]. Additional data from 12 trap loca-
tions on the Delmarva Peninsula showed even lower H. zea moth activity, with captures per
night averaging 0.64±0.48 in 2015 and 0.42±0.45 in 2016. H. zea population abundance did
not significantly affect the observed damages to corn ears for Bt hybrids [F (1, 82) = 0.001,
P = 0.97; Fig 4B].
Efficacy and tissue toxicity comparisons among the Bt hybrids
The seven hybrids within each replicate block reached the silking stage within several days of
each other and thus were exposed similarly to the oviposition pressure by H. zea. High ear
infestations in the non-Bt hybrid caused an overall 70% damaged ears and 2.75 cm2 of kernel
consumption, and larvae found in ears averaged 4.5 instar stage in developmental growth. Val-
ues of damage, consumption, and mean instars across the Bt hybrids were significantly less
than the non-Bt control hybrid but did not vary significantly among the Bt hybrids (Fig 5A–
5C; see Table 3 in S3 Appendix for statistical tables). The mean weight of larvae feeding on
Fig 2. Trends comparing efficacy of Cry1A.105+Cry2Ab2 Bt sweet corn (Performance Series) with non-Bt isogenic
hybrids for control of Helicoverpa zea during 2010–2016 in Maryland, USA. Over years, Bt hybrids (blue circles and
shades) had significant increases in the percentage of H. zea damaged ears (A), kernel consumption (B), instar stage (C) and
proportion of late instars (D) than non-Bt hybrids (yellow squares and shades). Points represent the raw data, black lines
represent the predictions from LMMs / GLMM, while shaded region denote the upper and lower confidence levels (95% CI).
doi:10.1371/journal.pone.0169115.g002
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different corn tissues was similar among the Bt hybrids and significantly less than non-Bt con-
trol hybrids (Fig 6). Inhibition of larval growth upon feeding on different tissues was also not
significantly different among Bt hybrids but significantly higher than the non-Bt hybrid (Fig
6). The mean instar feeding on different sweet corn tissues was also similar among the Bt
hybrids, and significantly less than the non-Bt hybrid (Fig 6). Brown dried silk and kernel tis-
sue allowed 46% more weight gain and 4.5% more stadia development than that of green and
wilted silk tissue, but there were no differences among the Bt hybrids.
Fig 3. Comparison of weight between susceptible laboratory and field collected Maryland populations of Helicoverpa zea across
concentrations of Cry1Ab expressing green leaf tissue. At every diet concentration other than control (dosage = 0), weight of larvae (mg) after 1
week of feeding assays was significantly higher for the Maryland strain (blue), than the susceptible (orange) strain. Points represent the raw data
values; while the squares represent quasi-Poisson GLM estimated means, and the vertical lines denoting the confidence intervals around the mean.
Asterisks indicate statistically significant differences (P < 0.05) based on post-hoc comparisons with a Bonferroni correction.
doi:10.1371/journal.pone.0169115.g003
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Fig 4. Mean nightly captures of Helicoverpa zea in black light traps during 1996–2014 in Maryland,
USA and its association with damage to Bt corn hybrids. The population abundance of H. zea at or near
study sites decreased over the past two decades (A), and showed no relationship with damage levels in Bt
sweet corn hybrids (B). Lines represent predictions from LMMs and shades depict upper and lower
confidence intervals (95% CI).
doi:10.1371/journal.pone.0169115.g004
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Discussion
Our field results clearly demonstrate the significantly increased susceptibility and reduced con-
trol efficacy of Cry1Ab Bt sweet corn (event Bt11) to H. zea, since its commercial introduction
in 1996. We also report significant reductions in field performance of Cry1A.105+Cry2Ab2
sweet corn (event MON89034) for controlling H. zea, particularly during 2015–2016. Larvae
successfully infested and damaged an increasingly large proportion of ears, consumed more
kernel area, and reached later developmental stages (4th - 6th instars) in both events of Bt
hybrids with increasing years of adoption. The control efficacy failure was unrelated to the H.
zea population abundance. Moth activity monitored in blacklight traps declined over the past
21 years at the study sites. Among the different Cry1Ab hybrids, there was no evidence of tis-
sue toxicity differences that could contribute to the decline in control efficacy. Field efficacy
comparisons under high H. zea population pressure also showed that ear damage, consump-
tion, and mean instars did not differ significantly among Cry1Ab expressing hybrids. Simi-
larly, bioassay determinations of various plant tissues did not show significant Bt hybrid
differences in H. zea body weight gains, percentage growth inhibition, or developmental larval
stage. After ruling out these possible contributing factors, the rapid change in field efficacy in
recent years and decreased susceptibility of H. zea to Bt sweet corn provide strong evidence of
field-evolved resistance in H. zea populations to multiple Cry toxins. However, our field stud-
ies on Vip3A + Cry1Ab sweet corn (Attribute II) show no detectable change in H. zea suscepti-
bility and confirm the high efficacy of this pyramided product reported earlier [50]. Our field
results for Vip3A hybrids suggest that there may be no cross resistance with Cry1Ab, similar to
previous reports of no cross-resistance for Vip3A with laboratory colonies of Cry1Ac resistant
H. zea [38,39].
Results of our laboratory bioassays further demonstrate significant differences in weight
gain and fitness characteristics between the susceptible strain and the UMD 2015 strain of H.
zea reared from surviving late instars collected from Cry1Ab sweet corn. Although apparently
Fig 5. Results comparing control efficacy variables among Bt and non-Bt hybrid varieties in Maryland, USA in
2008. The mean damaged ears (A), kernel area consumed, (B), and instars of susceptible larvae (C) was broadly similar
among the Cry1Ab expressing Bt hybrids (blue bars), and significantly different (Tukey’s HSD; α = 0.05; denoted by unique
alphabets) from non-Bt control hybrids (yellow bar). Black lines represent the mean values and the height of bars above and
below the black lines respectively indicate the upper and lower confidence levels (95% CI) estimated through LMMs.
doi:10.1371/journal.pone.0169115.g005
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more adapted to the artificial diet, weight gain of the susceptible strain significantly reduced at
a greater rate than the UMD 2015 strain at all concentrations tested. Using Cry1Ab-expressing
corn leaf powder Anilkumar et al. [38] showed significant, but marginal differences in weight
loss (no differences in mortality) between susceptible and Cry1Ac-resistant H. zea. Fitness of
the UMD 2015 strain was significantly lower than that of the susceptible strain as indicated by
lower hatch rate, longer time to adult eclosion, lower pupal weight, and reduced survival to
adulthood (see S2 Appendix). These results suggest that reduced fitness in the UMD 2015
strain is likely associated with changes in susceptibility to Cry toxins, which has been reported
in other insects associated with resistance to Bt [27,65].
The fitness costs may also have broadly affected the timeframe of resistance evolution as
well as the stability of resistance in the field. Previous reports identify sub-lethal effects of
MON810 corn resulting in prolonged larval and pupal development, delayed adult eclosion
and emergence, thereby resulting in asynchrony of mating between H. zea individuals [49,66].
Fig 6. Results comparing control efficacy in relation to tissue toxicity among Bt and non-Bt sweet corn varieties from Maryland, USA
in 2008. The mean weight, growth inhibition and instars of susceptible larvae feeding on different sweet corn tissues was broadly similar among
the Cry1Ab expressing Bt hybrids (blue bars), and significantly different (Tukey’s HSD; α = 0.05) from non-Bt control hybrids (yellow bar). Black
lines represent the mean values and height of bars indicate the upper and lower confidence levels (95%CI) estimated through Gaussian GLMs or
ANOVA.
doi:10.1371/journal.pone.0169115.g006
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Reports indicate that longer larval developmental period in resistant S. frugiperda has resulted
in emergence asynchrony between adults susceptible and resistant to Cry1F (Bt maize event
TC1507) in Puerto Rico [67]. Similarly, the prolonged larval and pupal development and later
emergence of resistant adults (than susceptible strains) and resultant asynchrony in emergence
and mating between resistant and susceptible strains could have delayed field-evolved resis-
tance to Cry proteins in H. zea. Additionally, other fitness costs may have made it difficult for
the resistant Maryland population to increase significantly to cause widespread field control
failure earlier. Our previous unsuccessful three attempts at characterizing resistance evolution
(see S1 Appendix) may be attributed to fitness costs associated with resistance development.
The field-evolved resistance we report here indicate ‘practical resistance’ (>50% resistant
individuals and reduced efficacy [16,18]) given the probable genetic basis of resistance. Many
sweet corn farmers in Maryland either have stopped growing Cry1Ab hybrids or are applying
more insecticide sprays to compensate for the reduced control efficacy (personal communica-
tion, GPD). In 2016, there also have been numerous inquiries to seed companies from sweet
corn farmers reporting control failures from Cry1A.105+Cry2Ab2 hybrids (personal commu-
nication, GPD). Our results confirm the findings from recent studies by Reisig and Reay-Jones
[68,69] showing increases in kernel feeding by H. zea on Cry1A.105+Cry2Ab2 field corn (VT
Double PRO) and evidence of developing resistance to the Cry1Ab trait based on changes over
time in toxin inhibition on growth and development of H. zea.
Many factors could have contributed to development of H. zea resistance. The Cry1Ab
toxin has been exerting selection pressure on H. zea populations in Bt corn since the trait
became commercially available in 1996; however, we presume that the relatively low deploy-
ment of Bt sweet corn hybrids, planted without a refuge requirement, has unlikely exerted
enough selection pressure alone to account for changes in H. zea susceptibility. Instead, the
high adoption rate of Bt field corn and cotton, along with the moderate dose expression of
Cry1Ab and related Cry1A toxins in these crops and decreasing refuge compliance, probably
contributed significantly for evolution of resistance. Many field corn hybrids expressing
Cry1Ab (events MON810 and BT11) or Cry1A.105+Cry2Ab2 (event MON89034) are widely
used and the moderate dose expression could allow heterozygous resistant individuals contain-
ing minor resistance alleles to survive, thus increasing the frequency of genes that confer resis-
tance in the H. zea population [13,70]. Regional deployment levels of Bt corn hybrids can also
contribute to increasing resistant gene frequencies, with low technology adoption related to
slower rate of resistance evolution [71]. The adoption rate of Bt field corn in Maryland is very
high, accounting for 83–93% of the hectares planted during 2013 in crop reporting districts
where the Queenstown and Salisbury sites are located. This high adoption of Bt corn, along
with a presumed decline in compliance with the refuge requirements, has almost certainly con-
tributed at the local level to the evolution of resistance. Similarly, Bt corn adoption exceeds
80% throughout most corn production areas in the U.S., and surveys show that 22% of the
farmers are not complying with refuge requirements [72].
The behavior and life history characteristics of H. zea may have aided in evolution of resis-
tance, similar to documented cases of evolution of resistance to conventional insecticides [73–
75]. At eastern Maryland sites, H. zea overwinters successfully during most years and thus
resistant individuals are able to contribute resistant alleles to the population in the subsequent
year. In addition to local recruitment of resistant H. zea individuals, southerly flow weather
patterns can facilitate the northward dispersal of moths, particularly as the maturing crops in
the southern regions become less attractive as hosts [76]. This south-north migration of moths
already selected for resistance on Bt corn and cotton can enhance the development of Cry1Ab
resistance in the northern corn growing regions. Reisig and Reay-Jones [68] recently presented
Corn Earworm Bt Cry Protein Resistance
PLOS ONE | DOI:10.1371/journal.pone.0169115 December 30, 2016 16 / 22
evidence of developing resistance to the Cry1Ab trait in field corn in the South and North
Carolinas.
Behavioral changes in H. zea due to feeding on Bt corn can also increase the risk of evolu-
tion of resistance. Studies in Maryland reported that sublethal exposure to Cry1Ab toxin in Bt
corn delayed larval development and adult emergence, which may result in asynchrony of mat-
ing between individuals emerging from Bt and non-Bt corn [66]. Another study showed that
alterations in the cannibalistic behavior of H. zea larvae due to sublethal exposure to the
Cry1Ab toxin could increase the selective differential between susceptible individuals and
those carrying resistance genes [77]. The extent that each behavioral factor contributes to the
current field efficacy failures and H. zea resistance to Cry1Ab is unknown, but collectively they
probably have aided in the evolution of resistance.
The field-evolved resistance by H. zea has implications for resistance monitoring, IRM and
the sustainability of the Bt corn technology. Registrants of Bt field corn expressing Cry1Ab,
and Cry1A + Cry2Ab2 toxins are required by EPA to annually monitor populations of H. zeausing laboratory bioassays to detect field-evolved resistance early enough to enable proactive
management before field failures occur [43]. Maryland has historically represented the north-
ern range of overwintering H. zea [54]. With these populations evolving resistance, programs
monitoring for resistance in further northern ranges of H. zea are essential. Warming temper-
atures exacerbate the risk of resistance spreading, as latitudes north of 40˚ become conducive
for successful overwintering and increasing migration of H. zea [15,78].
We predict that H. zea resistance to the Cry toxins is likely to increase, and spread, with the
shift to RIB corn hybrids that contain a blend (e.g. 95:5 Bt: non-Bt seed). Similarly, due to
northward influxes of potentially resistant moths from southern source regions, the risk of fur-
ther evolution of resistance may increase with the reduced refuge size (from 50% to 20%) in
regions where Bt cotton is used. Apart from reductions in the refuge size, there are also con-
cerns that pollen-mediated gene flow between Bt and refuge plants in a seed blend could accel-
erate resistance evolution. Cross-pollination between refuge and neighboring Bt plants can
result in fewer susceptible H. zea moths produced in a refuge or intermediate levels of toxin
expressed in kernels that kill susceptible individuals but allow heterozygotes to survive [79,80].
The potential existence of cross-resistance between Cry1Ab and the other Cry toxins
[13,35,39,81–83] may also compromise the efficacy and durability of the new pyramided traits
in Bt field and sweet corn. Finally, as reported here and by Burkness et al. [50], Vip3A expres-
sion in Attribute II sweet corn and many field corn products is still highly effective for control-
ling H. zea and other lepidopteran pests. Although there is no reported cross-resistance
between Vip3A and Cry toxins [38,81,84], it is unknown whether continued selection pressure
from Cry expressing Bt corn and increased use of the Viptera trait will reduce the sustainability
of this pyramided Bt technology.
Supporting Information
S1 Appendix. Experiments to characterize Bt resistance in Helicoverpa zea field-collected
populations during 2008 to 2012.
(DOCX)
S2 Appendix. 2015 Bioassays to characterize fitness of Maryland field-collected popula-
tions of Helicoverpa zea.
(DOCX)
S3 Appendix. Tables presenting the summary of statistical results for all analyses.
(DOCX)
Corn Earworm Bt Cry Protein Resistance
PLOS ONE | DOI:10.1371/journal.pone.0169115 December 30, 2016 17 / 22
Acknowledgments
We thank the research farm managers, David Armentrout, Mike Newell, Alfred Hawkins,
Kevin Conover, and Dave Justice for establishing and maintaining the paired plantings of Bt
and non-Bt sweet corn. We particularly thank William Moar (Auburn University), Bruce Lang
(Custom BioProducts), Phillip Matthews (Syngenta), and Ryan Kurtz (formally with Syngenta)
for their efforts in establishing laboratory colonies to characterize Cry1Ab resistance. We
greatly appreciate Mike Embry, Terry Patton, Amy Miller, the many research assistants, sum-
mer student interns, graduate students, and technicians over the past 21 years for their help
with data collection and field collection of surviving larvae. Finally, we thank Doug Plaisted,
Debbie Warnick, and others from Syngenta Seeds for providing sweet corn seed and technical
assistance. Comments from three anonymous reviewers and Carlos Blanco improved the
manuscript.
This publication was developed under Assistance Agreement No. X3-83588701 awarded by
the United States Environmental Protection Agency (U.S. EPA) to the American Association
for the Advancement of Science (AAAS). It has not been formally reviewed by the U.S. EPA.
The views expressed in this document are solely those of the authors, and do not reflect those
of either U.S. EPA or AAAS. Products or commercial services mentioned in this publication
are solely for reference purposes only, and do not represent endorsement by the authors, the
U.S. EPA, or AAAS.
Author Contributions
Conceptualization: GPD.
Data curation: GPD PDV.
Formal analysis: GPD PDV.
Funding acquisition: GPD CF.
Investigation: GPD PDV CF.
Methodology: GPD PDV CF.
Project administration: GPD CF.
Resources: GPD PDV CF.
Supervision: GPD.
Validation: GPD CF.
Visualization: PDV.
Writing – original draft: PDV GPD.
Writing – review & editing: PDV GPD CF.
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